Comparison of 2D and 3D fluorescence image analysis

Here, we conduct a proof of principle by comparing a 2D and 3D fluorescent image analysis based approach on unlabeled cardiomyocytes. Based on the CellProfiler software, we extracted high-dimensional features of individual cells and nuclei, which are subsequently down-sampled and clustered. These clusters are furthermore benchmarked via different machine learning classifiers (e.g., AdaBoost, Gradient Boosting, Random Forest) as the ground truth for our proposed approach.


Modelling Analysis

Markus Wolfien

Projects: iRhythmics

Investigation: hidden item

Study: hidden item

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Biological problem addressed: Model Analysis Type

Organisms: No organisms

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Created: 16th Oct 2020 at 10:55

Last updated: 16th Oct 2020 at 12:28

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